Autoscribes LIMS has more than the usual applications, from lotteries to vehicle rentals, as Sophia Ktori discovers
Lonza Biosciences MODA system offers not just a paperless but a mobile and sanitisable way to carry out microbiology testing. Sophia Ktori reports
Alison Kennedy discusses why self-help will not be enough to overcome the challenge of XXscale in the HPC industry
Robert Roe investigates the use of simulation within the aerospace industry and the steps taken to reduce the complexity of software for engineers
Even a nation as advanced as the USA can field only two consortia capable of getting to exascale.Robert Roe reports
Today the US National Consortium for Data Science is an active and growing organisation. Stan Ahalt discusses how and why it came into being
Metadata is key to mastering the volumes of data in science and engineering, argues Bob Murphy, and tools are available to make it easier
As the Large Hadron Collider restarts at Cern, data storage has become as important to scientists as compute power. But, as Tom Wilkie reports, the innovative technologies being developed have much wider applications
In the second article in his series on future hardware for HPC, Robert Roe looks at alternatives to the x86, including server on a chip and OpenPower
Gloria Metrick highlights a significant trend in informatics software: the growing convergence between sample-centric laboratory and patient-centric clinical systems
Robert Roe interviews MathWorks Loren Dean, on the use of AI in modelling and simulation
Every device needs to work seamlessly in its operating environment. But when that environment is a human body, things get complicated.
Christian Marcazzo, general manager at IDBS, highlights trends in life sciences research and development.
Data is a company’s biggest asset, yet for any organisation, keeping a handle on the potentially vast volumes and diversity of data that are generated can represent a considerable issue.
Rob Lalonde, Univa’s cloud VP general manager, considers the unique challenges posed by HPC
Deep learning has seen a huge rise in popularity over the last five years in both enterprise and scientific applications.
HPC users are increasingly turning to cloud technologies due to their flexibility and scalability, allowing them to quickly change the size of their workloads, adopt new technologies in a small testing environment and to help to increase the agility of a company working across multiple sites, or
